Khanal Anuva, Rao Nidhi Laxminarayan, Rajaravichandran Anubama, Pathil Alen Antony, Majumder Kaustav, Rodriguez Jairon
Internal Medicine, Shaheed Ziaur Rahman Medical College and Hospital, Bogra, BGD.
Internal Medicine, K.A.P.Viswantham Government Medical College, Tiruchirappalli, IND.
Cureus. 2024 Dec 5;16(12):e75162. doi: 10.7759/cureus.75162. eCollection 2024 Dec.
Background This research examines mortality patterns and the place of death in individuals with chronic rheumatic heart disease (RHD) in the United States, aiming to identify demographic predictors for home or hospice death. Additionally, the study aims to uncover trends in mortality due to RHD and provide a predictive forecast. Methods The study utilized data from the Centers for Disease Control and Prevention (CDC)-Wide-Ranging Online Data for Epidemiologic Research (WONDER) database, which spans 22 years (1999-2020), and was categorized based on place of death, including home or hospice care, inpatient, outpatient, or emergency room deaths, and nursing home facility deaths. The data was further analyzed by age, gender, race, and region. The Autoregressive Integrated Moving Average (ARIMA) model was used for statistical analysis and forecasting. Results A total of 73,673 deaths were analyzed, and age was found to be a significant predictor of place of death. The highest number of deaths was in the 85+ age group, followed by a decrease in likelihood with decreasing age. Individuals residing in the West were more likely to die at home or in hospice compared to those in other regions. White individuals had a higher likelihood of dying at home or in hospice compared to other racial groups. Conclusions The findings emphasize the importance of considering patients' preferences and ensuring equitable access to end-of-life care services, regardless of their demographic background. The study highlights the need for further research to improve access to palliative care, reduce disparities in end-of-life care, and enhance the quality of life for individuals with chronic RHD and their families.
背景 本研究调查了美国慢性风湿性心脏病(RHD)患者的死亡模式和死亡地点,旨在确定在家中或临终关怀机构死亡的人口统计学预测因素。此外,该研究旨在揭示RHD导致的死亡趋势并提供预测性预报。方法 该研究利用了疾病控制与预防中心(CDC)的流行病学研究广泛在线数据(WONDER)数据库中的数据,该数据库涵盖22年(1999 - 2020年),并根据死亡地点进行分类,包括在家中或临终关怀机构、住院、门诊、急诊室死亡以及养老院设施死亡。数据进一步按年龄、性别、种族和地区进行分析。自回归积分移动平均(ARIMA)模型用于统计分析和预测。结果 共分析了73,673例死亡病例,发现年龄是死亡地点的重要预测因素。死亡人数最多的是85岁及以上年龄组,随后随着年龄的降低死亡可能性也降低。与其他地区的人相比,居住在西部的人更有可能在家中或临终关怀机构死亡。与其他种族群体相比,白人在家中或临终关怀机构死亡的可能性更高。结论 研究结果强调了考虑患者偏好以及确保公平获得临终护理服务的重要性,无论其人口统计学背景如何。该研究强调需要进一步开展研究,以改善姑息治疗的可及性、减少临终护理方面的差距,并提高慢性RHD患者及其家庭群体的生活质量。